The Flux-Oriented Control of an Induction Machine Utilizing an Online Controller Parameter Adaptation Scheme. - Zaiping Chen; Qiang Gao 001; Chao Dong; Hongjin Liu; Peng Zhang; Zhenlin Xu (Australian Joint Conference on Artificial Intelligence, 2002)

A Neural Network Online Training Algorithm Based on Compound Gradient Vector. - Zaiping Chen; Jun Li; Youjun Yue; Qiang Gao 001; Hui Zhao; Zhenlin Xu (Australian Joint Conference on Artificial Intelligence, 2002)

How to Understand the Basic Graphic Analysis Method. - Zhenlin Xu; Fangqu Xu; Wen Xu; Xiaohui Zou (ICCSIP (1), 2018)

The Cognitive Features of Programming Language and Natural Language. - Wen Xu; Fangqu Xu; Xiaohui Zou; Zhenlin Xu (ICIS, 2018)

Contextual Additive Networks to Efficiently Boost 3D Image Segmentations. - Zhenlin Xu; Zhengyang Shen; Marc Niethammer (DLMIA/ML-CDS@MICCAI, 2018)

Towards Fully Mobile 3D Face, Body, and Environment Capture Using Only Head-worn Cameras. - Young-Woon Cha; True Price; Zhen Wei; Xinran Lu; Nicholas Rewkowski; Rohan Chabra; Zihe Qin; Hyounghun Kim; Zhaoqi Su; Yebin Liu; Adrian Ilie; Andrei State; et al. (IEEE Trans. Vis. Comput. Graph., 2018)

Networks for Joint Affine and Non-Parametric Image Registration. - Zhengyang Shen; Xu Han 009; Zhenlin Xu; Marc Niethammer (CVPR, 2019)

DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation. - Zhenlin Xu; Marc Niethammer (MICCAI (2), 2019)

Adversarial Data Augmentation via Deformation Statistics. - Sahin Olut; Zhengyang Shen; Zhenlin Xu; Samuel Gerber; Marc Niethammer (ECCV (29), 2020)

A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. - Xu Han 009; Zhengyang Shen; Zhenlin Xu; Spyridon Bakas; Hamed Akbari; Michel Bilello; Christos Davatzikos; Marc Niethammer (MLMI@MICCAI, 2020)

Anatomical Data Augmentation via Fluid-Based Image Registration. - Zhengyang Shen; Zhenlin Xu; Sahin Olut; Marc Niethammer (MICCAI (3), 2020)

Robust and Generalizable Visual Representation Learning via Random Convolutions. - Zhenlin Xu; Deyi Liu; Junlin Yang; Marc Niethammer (CoRR, 2020)

Robust and Generalizable Visual Representation Learning via Random Convolutions. - Zhenlin Xu; Deyi Liu; Junlin Yang; Colin Raffel; Marc Niethammer (ICLR, 2021)

iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images. - Qin Liu 008; Zhenlin Xu; Yining Jiao; Marc Niethammer (MICCAI (5), 2022)

Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. - Zhenlin Xu; Marc Niethammer; Colin Raffel (NeurIPS, 2022)

Improving Dense Contrastive Learning with Dense Negative Pairs. - Berk Iskender; Zhenlin Xu; Simon Kornblith; Enhung Chu; Maryam Khademi (CoRR, 2022)

DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. - Chao Huang 005; Zhenlin Xu; Zhengyang Shen; Tianyou Luo; Tengfei Li 001; Daniel Nissman; Amanda Nelson; Yvonne Golightly; Marc Niethammer; Hongtu Zhu (Medical Image Anal., 2022)

Towards Deep Visual Learning in the Wild: Data-efficiency, Robustness and Generalization. - Zhenlin Xu (2022)

ScaleDet: A Scalable Multi-Dataset Object Detector. - Yanbei Chen; Manchen Wang; Abhay Mittal; Zhenlin Xu; Paolo Favaro; Joseph Tighe; Davide Modolo (CVPR, 2023)

SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. - Qin Liu 008; Zhenlin Xu; Gedas Bertasius; Marc Niethammer (ICCV, 2023)

Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. - Zhenlin Xu; Yi Zhu; Tiffany Deng; Abhay Mittal; Yanbei Chen; Manchen Wang; Paolo Favaro; Joseph Tighe; Davide Modolo (CoRR, 2023)

Self-Supervised Multi-Object Tracking with Path Consistency. - Zijia Lu; Bing Shuai; Yanbei Chen; Zhenlin Xu; Davide Modolo (CVPR, 2024)

Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. - Zhenlin Xu; Yi Zhu; Siqi Deng; Abhay Mittal; Yanbei Chen; Manchen Wang; Paolo Favaro; Joseph Tighe; Davide Modolo (CVPR Workshops, 2024)

Characterizing Behavioral Differences and Adaptations of Automated Vehicles and Human Drivers at Unsignalized Intersections: Insights from Waymo and Lyft Open Datasets. - Saeed Rahmani; Zhenlin Xu; Simeon C. Calvert; Bart van Arem (CoRR, 2024)

GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-Grained Video-Language Learning. - Yicheng Wang; Zhikang Zhang; Jue Wang 010; David Fan; Zhenlin Xu; Linda Liu; Xiang Hao; Vimal Bhat; Xinyu Li 003 (WACV, 2025)

Does Another Pedestrian Matter? A Virtual Reality Study on the Interaction Between Multiple Pedestrians and Autonomous Vehicles in Shared Space. - Yan Feng; Zhenlin Xu; Haneen Farah; Bart van Arem (IEEE Trans. Intell. Transp. Syst., 2025)

RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines. - Pengfei Yu; Dongming Shen; Silin Meng; Jaewon Lee; Weisu Yin; Andrea Yaoyun Cui; Zhenlin Xu; Yi Zhu 001; Xingjian Shi; Mu Li 003; Alex Smola (CoRR, 2025)

DT Assisted Task Offloading for C-V2X Networks With Imperfect DT Prediction Conditions. - Bo Fan 003; Zhenlin Xu; Zhidu Li; Yuan Wu 001; Yan Zhang 002 (IEEE Trans. Intell. Transp. Syst., 2025)

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text. - Nikhil Kandpal; Brian Lester; Colin Raffel; Sebastian Majstorovic; Stella Biderman; Baber Abbasi; Luca Soldaini; Enrico Shippole; A. Feder Cooper; Aviya Skowron; John Kirchenbauer; Shayne Longpre; et al. (CoRR, 2025)